27 results about "Device Usage" patented technology

The invention relates to the technical field of directional advertisement, in particular to an advertisement putting method based on a user portrait, which comprises the following steps of: acquiring equipment use time of a target user, recording use types and corresponding use frequencies of software and corresponding advertisement response information, dividing the equipment use time into a plurality of putting characteristic time periods, determining the advertisement putting type of each putting characteristic time period; according to the advertisement feedback attitude of the user in each feature time period, determining an advertisement effective tendency category of the current user in each putting feature time period so as to determine a basic advertisement putting mode; and according to the duration percentage in each time period, determining an advertisement acceptance fluctuation parameter of the user in the current time period so as to judge whether to adjust the advertisement putting content in the current characteristic time period, and according to the advertisement watching duration percentage of each use type of software, determining an adjustment direction. And the overall advertisement putting effect is improved.

The invention provides a search result recommendation method and equipment, which are used for improving the search performance of electronic equipment and improving the use experience of a user on a search function of the electronic equipment. According to the method, the electronic equipment detects and responds to a search instruction of a user, and a search word can be obtained; the electronic equipment can obtain at least one piece of equipment use information; based on the obtained search term and the equipment use information, the electronic equipment can provide a search result matched with the equipment use information of the electronic equipment, and the provided search result can be obtained after screening and / or sorting. Therefore, the search result provided by the electronic equipment can fit the use habit of the user or can be matched with the use state of the electronic equipment, so that the use experience of the user can be improved.

1. The name of the design product: device usage record graphical user interface for electronic device. 2. The use of the design product: the design product is used for electronic device. 3. The design points of the design product: the graphical user interface in the electronic device. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The electronic device is a conventional design, and other views are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: after establishing a connection relationship with the hearing aid, the sound log function can be used to view various usage records of the hearing aid. Interface interaction process: design 1 front view is used to display the cumulative usage time of both ears and the recent wearing time information; in design 1 front view, the interface is jumped to design 1 interface change state diagram by sliding upwards, design 1 interface change state diagram is used to display the average wearing time information and more reasonable wearing suggestions; the interaction process and use of design 2 are the same as those of design 1.

Systems and methods for personalized device routines include determining devices associated with user account data and generating device usage data indicating aspects of smart device usage over a period of time. The usage data may then be utilized to identify candidate smart devices, time indicators, and trigger event types to associate with candidate routines. One or more of the candidate routines may be recommended to a user based at least in part on the usage data and the trigger event types at issue to personalize the device routine recommendations.

A method comprising obtaining, from a master user, a device usage allocation applicable to two or more devices, the two or more devices being associated with another user, the another user being different from the master user, obtaining an aggregate measure of device usage associated with the two or more devices, if the aggregate measure of device usage associated with the two or more devices satisfies a condition relative to the device usage allocation, managing an activity of the two or more devices, and sending a notification to at least one of the two or more devices, the notification for presentation to the another user through a user interface of the at least one of the two or more devices.

Presented are methods and systems to universally assess composite utility consumption (1) in which a plurality of real-time and batch sensor readings such as from multiple disparate utility sensor data inputs (3) may be acquired and stored such as into a local device (2) or a central data warehouse (6). A composite utility estimated cost generator (9) can generate missing or uncorrelated data and a collected composite utility data information correlator (11) can correlate the data so it can be applied to determine some type of composite utility cost information. For real-time calculation, a disparate utility rate information accessor (8) can obtain multiple items of disparate rate information and this can use with correlated data to create a composite utility consumption and spend so a user can manage and control utility usage for a home, building, facility, plant, specific equipment, or the like. Cost information, such as a rate of spend or spend amount(s) to date or for a period may be presented to user in a variety of visualizations and reporting formats including specific time usage and spend information, specific time range usage and spend, and “time-of-use” billing information for specific real-time data points. The visualization and reporting may be used to answer a plurality of usage questions along with specific characterizations of utility spend across time of day domains and specific equipment usage domains thus affording more effective utility cost management.

The invention relates to the technical field of equipment control, and discloses an equipment control method and device based on user habits, equipment, a medium and a product, the local time of the environment where the equipment is located is determined through light intensity change data, and an equipment clock is calibrated. And the calibrated equipment clock is utilized to record the equipment use condition of the user in the preset period, and the working days and the rest days in the preset period are identified, so that the user use habits of the user in the working days and the rest days are learned. Therefore, the equipment can be controlled in combination with the use habit of the user matched with the current date during operation of the equipment. According to the method and the device, the local time of the equipment can be automatically reset under the conditions of no network connection and environment time zone crossing, so that the user habits conforming to the local time of the user are recorded and learned according to the local time, the situation that the set habits of the equipment are not conforming to the real habits of the user is prevented, and the equipment use experience of the user is improved.

The present invention relates to the field of device control technology, and discloses a device control method, apparatus, equipment, medium and product based on user habits. The present invention determines the local time of the environment in which the device is located through light intensity change data, and calibrates the device clock. The calibrated device clock is then used to record the user's device usage within a preset period, and by identifying the working days and rest days within the preset period, the user's usage habits on working days and rest days are learned. Therefore, during the operation of the device, the device can be controlled in combination with the user's usage habits that match the current date. The present application can also automatically reset the local time of the device in the absence of a network connection and in an environment across time zones, thereby recording and learning user habits that are consistent with the user's local time according to the local time, preventing the habits set by the device from being inconsistent with the user's real habits, and improving the user's device usage experience.

The present application provides a method, apparatus, and shared service platform for controlling shared devices. The method comprises: obtaining device distribution information and device usage information for the current usage cycle, obtaining the current device distribution information and current device usage information, wherein the device distribution information includes the number of shared devices at each shared device distribution point, and the device usage information includes the usage time and number of times the shared devices are used; inputting the current device distribution information and current device usage information into a shared device on / off prediction model to predict the number of shared devices powered on in the next usage cycle; and, at the start of each time period in the next usage cycle, controlling the number of shared devices powered on at each shared device distribution point based on the powered-on number information. This method solves the problem in the prior art of low device utilization in the powered-on state of shared devices, which leads to high energy consumption.

A method for monitoring device usage includes: receiving user device information; based on the user interaction data, determining a state associated with the user device; and based on the state of the user device, determining a set of tap parameters. Additionally or alternatively, the method can include any or all of: determining a risk score based on at least on the set of tap parameters; determining an output based on the risk score; and / or any other suitable processes performed in any suitable order.

Techniques for presenting personalized content to a user are described. A smart home system may determine activity data (including present activity data and device usage history) specific to interactions involving a first device, and generate activity embedding data representing the activity data. The smart home system may also receive a first list content for presentment, and generate a second list of content using the first list and the activity embedding data. The smart home system may send the second list to the first device. The first device may determine a third list of content based on the second list and an identify of a user presently interacting with the first device, such that the third list of content is specific to interactions involving the first device and the user. The first device may then present at least one instance of content represented in the third list.

The invention relates to the technical field of equipment information pushing, and particularly discloses an equipment information pushing method and system, and the method comprises the steps: receiving individual information sent by an equipment user, carrying out the statistics of the equipment use condition of the equipment user based on the individual information, and creating an identity portrait of the equipment user; receiving equipment information uploaded by an equipment provider, and determining the pushing probability of each equipment user based on the identity portrait of the equipment user; and pushing the equipment information to the equipment user based on the pushing probability, and forwarding a response request of the equipment user to the equipment provider when the response request is received. According to the method and the device, the pushing probability of the device user is determined through the information of the device user, and the device information is pushed to each device user based on the pushing probability when the device information is pushed, so that the randomness of the pushing process is greatly improved, the fixed pushing phenomenon is effectively avoided, and the anti-sensitivity of the device user is reduced from a certain aspect.

The invention belongs to the technical field of electric appliances, and particularly relates to a control method, device and equipment of washing and care equipment and a medium, and the method comprises the steps: when a target door module meeting a preset condition exists, obtaining image information, captured by a camera device, of a target inner cylinder corresponding to the target door module; according to the image information, if it is confirmed that to-be-processed clothes are stored in the target inner drum, the type of the washing and care equipment is obtained, and the type is used for indicating that the washing and care equipment is single-drum equipment or multi-drum equipment; according to the type, equipment use information of the washing and care equipment is obtained, and the equipment use information is used for indicating historical use information of the target inner cylinder; and according to the equipment use information, obtaining a corresponding recommended program, and sending the recommended program to a user side, so that the user side selects a used running program. According to the method, the clothes adding action of the user can be intelligently recognized, automatic recognition and intelligent recommendation of the washing equipment are achieved, and the user experience is improved.

Verifying that a user is using a device at a pre-designated location between a start time and an end time includes: computing a challenge and an answer as a function of the challenge; generating and storing in a blockchain a commitment including an identity of the user, an identity of the device, the pre-designated location associated with the user, a start time of the device usage, an end time of the device usage, and the computed challenge; generating a visual code for the device to carry the answer; encrypting the generated visual code using a public key of the device, wherein the encrypted visual code can only be decrypted with a private key of the device; and storing the encrypted visual code in the blockchain.

The invention relates to the technical field of equipment management service, in particular to an enterprise-level equipment as a service (DaaS) system which comprises a remote memory monitoring module, an equipment use identification module, a use cycle mapping module, an abnormal state identification module and a staged service label module. According to the invention, by collecting the memory usage data of the device in real time and calculating the memory utilization rate, the resource abnormity can be identified in time, and by analyzing the starting and ending time of the device session and combining the reference of the service level agreement for comparison, the refined classification of the device usage condition is realized; through deviation comparison with baseline data such as equipment use frequency and task throughput, abnormal behaviors are found in advance, abnormal behavior recognition is performed through multi-dimensional feature cross validation, the accuracy of abnormal detection can be greatly improved, the accuracy, response speed and early warning capability of equipment resource management are remarkably improved, the operation and maintenance cost is effectively reduced, and the method is suitable for popularization and application. And the service life cycle of equipment is prolonged.

This invention discloses a smart home scene recommendation method and smart home devices. It generates and stores an original scene usage dataset based on smart home device usage data from different users, environmental data at usage times, and publicly available personal characteristic data from each user. A preset feature filtering algorithm is used to select multiple important features with importance metrics greater than a preset threshold from various basic features. A preprocessed scene usage dataset is then selected from the original scene usage dataset based on these important features. Finally, target scene setting parameters matching the current user are determined from the preprocessed scene usage dataset based on the importance metrics of each important feature, and these target scene setting parameters are pushed to the current user's terminal. This allows for more accurate smart home scene recommendations and improves the user experience.

A method for monitoring device usage includes: receiving user device information; based on the user interaction data, determining a state associated with the user device; and based on the state of the user device, determining a set of tap parameters. Additionally or alternatively, the method can include any or all of: determining a risk score based on at least on the set of tap parameters; determining an output based on the risk score; and / or any other suitable processes performed in any suitable order.

An electronic device, computer program product, and method autonomously updates / modifies device features and / or settings for use in a new location having specific requirements for device usage. The device processor executes code to: determine that a user of the electronic device will be travelling from a first location having the first set of location specific requirements to a second location having a second set of location specific requirements; and identify the second set of location specific requirements corresponding to the second location. In response to at least one of a time trigger or a location trigger corresponding to the electronic device being moved to the second location, the processor autonomously modifies one or more device features associated with the second set of location specific requirements to enable the electronic device to operate according to the second set of location specific requirements while the electronic device is in the second location.

The invention relates to the technical field of credit analysis, in particular to a method, a device and equipment for analyzing user credit based on a graph neural network, and the method comprises the steps: fusing the multi-source data of a user in a period of time, such as object transaction data, equipment use data, credit data, associated user data and other data of different dimensions; according to the method and the device, the credit condition of the user is determined by analyzing the nodes of different dimensions and the credit characteristics of the nodes, so that the analysis accuracy of the credit condition of the user can be improved, and the processing accuracy and efficiency of user credit decision are improved; for example, the lease admission analysis accuracy is improved, the guarantee deposit adjustment efficiency and accuracy are improved, and the overdue risk prediction accuracy and reliability are improved.

To make it possible to present an estimated apparatus usage environment and support appropriate settings for security measures.SOLUTION: An information processing device acquires feature information of communication performed by a first apparatus, estimates the usage environment of the first apparatus based on a trained model generated by performing machine learning based on feature information of communication performed by a plurality of second apparatuses and setting information on the usage environment set in the second apparatuses, and the acquired feature information of communication related to the first apparatus, and notifies the estimated usage environment of the first apparatus.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of electric appliances, and particularly relates to an equipment use prompting method and device, equipment and a medium, and the method comprises the steps that a target program selected by a user is acquired, and the target program represents a running program which can be executed by the equipment; obtaining historical use information of the target program, wherein the historical use information is used for indicating the historical use times of the target program and a first interval duration between the time of using the target program last time and the current time; according to the historical use information, a prompt strategy corresponding to the target program is obtained, and prompt information is sent to a user based on the prompt strategy so as to prompt the user to look up the use instruction of the target program. According to the method, differentiated reminding can be carried out flexibly according to the degree of need of the user for the specification during user operation according to the historical use information of the program. The method is friendly to the user who cannot skillfully operate the equipment, so that the user can conveniently and quickly check the description, and the user experience is enhanced.

The embodiment of the invention discloses an operation mode recognition method and a training method and device of an operation mode recognition model, and relates to the technical field of internet application. According to the main technical scheme, the method comprises the following steps: acquiring current feature data, wherein the feature data at least comprises currently detected gesture track information and a current equipment use condition; an operation mode recognition model is called to recognize a current operation mode based on the feature data, the operation mode comprises a left hand operation mode or a right hand operation mode, and the operation mode recognition model is obtained based on a deep learning model. According to the method and the device, the accuracy of identifying the operation mode of the user can be improved, so that more efficient and intelligent operation experience can be provided for the user.

The application discloses an intelligent lighting control system and method based on an Internet of Things, and relates to the technical field of lighting control.The system comprises the following steps: obtaining each historical interaction record of a user and a lighting device, analyzing the interaction state of the lighting device and the user, and obtaining characteristic device data corresponding to the lighting device; monitoring each lighting device, obtaining each historical device usage record of each lighting device, and analyzing the usage state and energy consumption of each lighting device to obtain first device data corresponding to the lighting device; based on the first device data of the lighting device, analyzing the influence state of the electric energy consumption between each lighting device to obtain marker device data of the lighting device; and a lighting device control cloud platform monitors the lighting device in a current period, and controls the lighting of the lighting device based on the marker device data and the characteristic device data corresponding to the lighting device.

The present application discloses a task execution method, a computer device, a storage medium, and a program product, relating to the technical field of resource allocation, including: a target request may include task information and scheduling configuration information in multiple dimensions. After receiving the target request, first determine device allocation information according to the scheduling configuration information of the device parallel dimension, the task information, and the resource device usage information, and then determine resource allocation information according to the task information, the device allocation information, and the scheduling configuration information of the token prediction parallel dimension and the stage parallel dimension. Finally, obtain an execution result according to the scheduling configuration information of the token prediction parallel dimension, the resource allocation information, and the task information, and feedback it to the target device. During the process of executing the task, device and resource allocation are performed from the scheduling configuration information of each dimension, and the task information itself is further combined during the execution of the task, considering the influence of multiple dimensions on resource scheduling, and solving the problem of low flexibility in the process of resource scheduling.

1. The name of the design product: device usage record graphical user interface for electronic device. 2. The use of the design product: the design product is used for electronic device. 3. The design points of the design product: the graphical user interface in the electronic device. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The electronic device is a conventional design, and other views are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the design product is used to view various usage records of the hearing aid. Interface interaction process: design 1 front view is mainly used to display hearing aid usage records and scene usage records, and more reasonable wearing suggestions can be provided through analysis of the usage records; in design 1 front view, clicking the "pie chart" button on the right side of the scene usage record jumps to design 1 interface change state diagram, which is used to switch the chart style of the scene usage record; the interaction process and use of design 2 are the same as those of design 1.

1. Name of the product of this design: Computer with a graphical user interface for displaying shared deployment data (2). 2. Purpose of this design product: mainly used for running programs and displaying information. 3. The key design point of this design product lies in the graphical user interface on the screen. 4. The picture or photo that best illustrates the key points of the design: Design 1 change state diagram. 5. Other views are of conventional design and are omitted. 6. Designate Design 1 as the base design. 7. Purpose of the graphical user interface: This display screen panel is used for computers. The interface displayed in the main view of this appearance product Design 1 is the interface of a computer. Click the usage timeout button in the menu bar below the main view of Design 1 to enter the device usage timeout details page, as shown in the Design 1 change status diagram. Click the Current Borrowing button in the menu bar below the Design 2 main view to enter the current borrowing device details page, as shown in the Design 2 change status diagram. Click the Borrowing Times button in the menu bar below the Design 3 main view to enter the device borrowing times details page, as shown in the Design 3 change status diagram. Click the Usage Ranking button in the menu bar below the Design 4 main view to enter the device usage ranking details page, such as the Design 4 change status diagram.

The embodiment of the invention discloses a service recommendation method and device, electronic equipment and a computer readable storage medium, and belongs to the technical field of recommendation. The method comprises: in response to a current key event for a target device, determining service preference information of a target user, and determining use attribute information of the target device, the use attribute information comprising scene information and time period information; and outputting target service recommendation information based on the service preference information and the use attribute information. Thus, when the key operation of the target user is detected, the user service preference and the equipment use attribute can be automatically recognized, intelligent and accurate personalized service recommendation is achieved, the function boundary of physical keys is expanded, the intelligent level of service ecology is effectively improved, and then the interaction efficiency and the user experience are remarkably improved.